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Data Scientist

Delan Associates, Inc
Remote, USA
Contract
Mid
Remote
Discovered 1 weeks ago
Free

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Key Responsibilities

  • Analyze, validate, and assess new data sources to identify trends, patterns, and opportunities for business insight.
  • Develop data-driven recommendations and present findings to stakeholders.
  • Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Ensure data quality, integrity, and consistency across multiple data sources.
  • Support ongoing reporting, data exploration, and strategic initiatives.
  • Communicate analytical findings and project updates to leadership and business partners.

Required Qualifications

  • Proven experience as a Data Scientist or similar analytical role.
  • Strong expertise in data analysis, statistical modeling, and data interpretation.
  • Experience working with large and complex datasets.
  • Ability to translate business problems into actionable analytical solutions.
  • Strong problem-solving and critical-thinking skills.

Preferred Qualifications

  • Experience within the telecommunications, cable/media, or advertising industries.
  • Experience evaluating and integrating new or emerging data sources.
  • Familiarity with modern data platforms, reporting tools, and data visualization techniques.

Soft Skills

  • Excellent verbal and written communication skills.
  • Highly responsive, dependable, and accountable.
  • Strong attention to detail and commitment to quality.
  • Self-motivated with the ability to work independently and manage multiple priorities.
  • Collaborative team player who works effectively with both technical and business stakeholders.

Day-to-Day Activities

Evaluate and analyze new data sources to support ongoing business initiatives.

Collaborate with stakeholders to understand data needs and deliver actionable insights.

Perform data exploration, validation, and reporting activities.

Present findings, recommendations, and progress updates to project teams and leadership.

Support strategic data initiatives through analytical expertise and data-driven decision making.

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